From: VirulentPred: a SVM based prediction method for virulent proteins in bacterial pathogens
Modules developed | Sensitivity (%) | Specificity (%) | Accuracy (%) | MCC | AUC under the ROC curve |
---|---|---|---|---|---|
AAC (Sigmoid kernel) | 63.4 | 75.0 | 69.2 | 0.39 | 0.75 |
AAC (Linear kernel) | 64.5 | 74.4 | 69.4 | 0.39 | 0.75 |
AAC (Polynomial kernel) | 63.4 | 75.8 | 69.6 | 0.40 | 0.76 |
AAC (RBF kernel) | 70.0 | 74.1 | 72.1 | 0.44 | 0.79 |
Dipeptide Composition (i+1) | 70.0 | 72.3 | 71.1 | 0.42 | 0.79 |
Dipeptide Composition (i+2) | 70.2 | 73.7 | 72.0 | 0.44 | 0.79 |
PSSM-profiles | 78.1 | 78.1 | 78.1 | 0.56 | 0.85 |
Cascade classifier | 82.0 | 81.5 | 81.8 | 0.64 | 0.86 |